FME vs Qlik Talend Cloud comparison

Safe Software and Qlik are both solutions in the Data Integration category. Safe Software is ranked #31 with an average rating of 8.0, while Qlik is ranked #5 with an average rating of 8.0. Safe Software holds a 1.1% mindshare in DI, compared to Qlik’s 2.4% mindshare. Additionally, 100% of Safe Software users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

FME

Read 7 FME reviews

3,094 Views
2,382 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

12,180 Views
5,237 Comparison Views

88% willing to recommend

FME

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and FME compete in the data integration and transformation sector, with FME having an advantage due to its robust features and higher perceived value, despite Qlik Talend Cloud's favorable pricing and support.

Features: Qlik Talend Cloud offers extensive data handling capabilities, cloud-native functionalities, and connectors to multiple systems and databases. FME boasts superior spatial data processing, automation, and an intuitive graphical user interface.

Room for Improvement: Qlik Talend Cloud could improve on its initial setup cost reduction for better budget alignment and expand its documentation for easier troubleshooting. FME might enhance its deployment flexibility, simplify its complex pricing tiers, and improve initial user onboarding processes.

Ease of Deployment and Customer Service: Qlik Talend Cloud simplifies deployment with a streamlined process and adequate customer service. FME, while offering a more complex deployment model, provides extensive resources and thorough support, which is valuable for complex scenarios.

Pricing and ROI: Qlik Talend Cloud offers a lower setup cost, making it attractive for budget-conscious buyers, delivering solid ROI through efficient operations. FME presents a higher initial cost but offsets this with significant value in complex data scenarios, making it suitable for long-term investments.

To learn more, read our detailed FME vs. Qlik Talend Cloud Report (Updated: April 2026).

Buyer's Guide

FME vs. Qlik Talend Cloud

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

FME

Ranking in Data Integration

31st

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of FME is 1.1%, down from 1.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 2.4%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.4%
FME	1.1%
Other	96.5%

Data Integration

Featured Reviews

Gert Booysen

Software Solutions Leader at GE Vernova

Extensive format support and reliable integration enhance data management while new pricing model requires reassessment

I haven't had any input or requirements from any customers that are not currently covered, so I don't have any additional needs that were identified or raised to me. Regarding pricing, with the model changes that they've implemented a while back, it actually made it more expensive to use, especially on the server side. They changed the licensing model, and that made customers think it is overpriced. Some customers were actually looking at alternatives. Pricing with the model changes was perceived negatively. I work primarily with enterprise customers, Vodacom, Eskom, so it's tier-one customers. For small customers, this solution is a bit too expensive. They don't really use it and just do direct integration on smaller implementations. This is basically used by tier-one customers. FME is still able to save time and money for clients. It's still a good investment. Regarding similar products to FME, GE developed a product called Data Fabric. That is a real-time operational integration platform, Data Fabric Network Connect, which is a GE Grid OS product. It is actually more expensive than FME, but the purpose is different as it's operational. The vendor in this case is GE, and it's a company that we bought that used to be called Greenbird. In current use scenarios, FME is still leading compared to Data Fabric. The GE product has a different application.

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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"From my reseller perspective, the best features in FME are the ease of operation and the fact that it works."

"It has a very friendly user interface. You don't need to use a lot of code. For us that's the most important aspect about it. Also, it has a lot of connectors and few forms. It has a strong facial aspect. It can do a lot of facial analysis."

"It has standard plug-ins available for different data sources."

"We make minor subtle changes to the workbenches to improve it. We can share the workbenches. We don't have to use GitHub or anything else."

"The most valuable feature of FME is the graphical user interface. There is nothing better. It is very easy to debug because you can see all steps where there are failures. Overall the software is easy to optimize a process."

"All spatial features are unrivaled, and the possibility to execute them based on a scheduled trigger, manual, e-mail, Websocket, tweet, file/directory change or virtually any trigger is most valuable."

"The most valuable feature of FME is the graphical user interface."

"FME is spatially aware and understands how to deal with the conversion of spatial objects and their attributes."

More FME pros

"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."

"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."

"The file fetch process is impeccable."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

More Qlik Talend Cloud pros

Cons

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house. The solution requires some in-depth knowledge to perform some functions."

"FME can improve the geographical transformation. I've had some problems with the geographical transformations, but it's probably mostly because I'm not the most skilled geographer in-house."

"We are looking at the possibility of using Glue instead of FME, using the native AWS product."

"FME's price needs improvement for the African market."

"Improvements could be made to mapping presentations."

"FME is a great tool, but I don't know if we can scale it up since the prices are high and we would need to convince the decision makers to provide more budget."

"To get a higher rating, it would have to improve the price and the associated scalability. These are the main issues."

"The one thing that always appears in the community is the ability to make really easy loops to loop through data efficiently. That needs to be added at some point."

"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."

"First, We faced problems with stability of the products."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script."

"With M rows, it runs too slowly and has memory issues."

"There are no concurrent licenses, they only have seat licenses on cloud. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."

"Performance and speed could be improved."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"The product's price is reasonable."

"FME Server used to cost £10,000; now it can cost over £100,000."

"We used the standard licensing for our use of FME. The cost was approximately €15,000 annually. We always welcome less expensive solutions, if the solution could be less expensive it would be helpful."

"The licensing cost is about 40,000 Euros a year."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"It's a subscription-based platform, we renew it every year."

"License renewal is on a yearly basis."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Government

29%

Energy/Utilities Company

13%

Construction Company

Comms Service Provider

Financial Services Firm

16%

Comms Service Provider

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

What needs improvement with FME?

See all answers

What is your primary use case for FME?

The use cases for FME are mainly integration to the GE Smallworld product. GE Smallworld is a GE product, and we are using it to integrate with other third-party products into GE Smallworld and ADM...

See all answers

What advice do you have for others considering FME?

The overall rating for FME is eight out of ten, and I prefer the feedback to be anonymous. My job title is Senior Solutions Architect.

See all answers

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

See all answers

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

See all answers

What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

See all answers

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Compared 9% of the time

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Compared 5% of the time

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Compared 4% of the time

Ikon vs FME

Compared 4% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 4% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 3% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

FME

May 2026

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Buyer's Guide

Qlik Talend Cloud

April 2026

Download Qlik Talend Cloud product report

Also Known As

No data available

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

FME is a powerful tool designed for efficient geospatial data handling, supporting over 400 file formats and integrating with diverse systems. Its intuitive interface facilitates seamless automation of workflows, making it ideal for sectors that manage large spatial data volumes.

With FME, businesses automate data flows and manage GIS data transfers while integrating with tools like GE Smallworld. It empowers users with self-service capabilities for data processing and real-time event management. Despite its strengths, users note areas for improvement such as better mapping presentations, simpler loops, and more guidance on geographical transformations. Pricing remains a consideration for some markets. However, FME is a robust solution for massive data transformations, network infrastructure management, and automation of data quality control, especially in governmental contexts.

What are FME's key features?

Spatial Capabilities: Efficient handling of geospatial data through triggers and automation.
Integration: Seamlessly works with FME Flow, FME Form, and scripting languages like Python.
User-Friendly Interface: Simplifies data transformation and debugging without extensive coding.
Format Support: Over 400 file formats ensure wide-ranging compatibility.
System Integration: Connects with numerous systems, preferred for large spatial data volumes.

What benefits should users consider?

Automation: Streamlines workflows and reduces manual intervention.
Efficiency: Handles large datasets effectively, optimizing data operations.
Cost-Effectiveness: Despite pricing concerns, offers significant functionality for data processing.
Self-Service Capabilities: Enables users to manage and transform data independently.
Real-Time Processing: Supports real-time event handling for dynamic environments.

FME is widely adopted across industries that require precise geospatial data management such as government agencies needing to automate and control data processes efficiently or organizations handling complex network infrastructures that engage in frequent GIS data transfers. Its capacity for seamless integration with various systems enables practical use for extensive data transformations and automation, increasing operational efficiency in data-intensive sectors.

Safe Software

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Shell, US Department of Commerce, PG&E, BC Hydro, City of Vancouver, Enel, Iowa DoT, San Antonio Water System

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

FME vs. Qlik Talend Cloud

April 2026

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